📜  daccord (1)

📅  最后修改于: 2023-12-03 14:40:36.106000             🧑  作者: Mango

Daccord: A Comprehensive Python Library for Processing Music Data

Daccord logo

Daccord is a Python library for music data processing. It provides tools for parsing and manipulating music files in various formats, such as MIDI and MusicXML, as well as for feature extraction, analysis, and visualization. Daccord is built on top of music21, NumPy, and SciPy, and is aimed at researchers, educators, and music enthusiasts who want an easy-to-use and powerful toolkit for exploring music data.

Features
  • Parsing and reading music files in various formats, including MIDI, MusicXML, and Lilypond.
  • Data structures for representing musical elements such as notes, chords, intervals, keys, and scales.
  • Algorithms for key detection, scale recognition, chord identification, and harmonic analysis.
  • Tools for feature extraction, such as pitch, rhythm, dynamics, and timbre.
  • Visualization of music data using graphical and interactive plots, including piano rolls and score notation.
  • Integration with machine learning frameworks, such as scikit-learn and TensorFlow.
Installation

Daccord can be installed using pip:

pip install daccord

Please note that some of the functionality of Daccord may require additional dependencies, such as music21 or TensorFlow. Consult the documentation for more information.

Getting Started

Here is a simple example showing how to load a MIDI file and plot its piano roll representation:

import daccord as dc
import matplotlib.pyplot as plt

midi_file = "path/to/midi/file.mid"
score = dc.io.read_midi(midi_file)
piano_roll = dc.feature.pitch.piano_roll(score)
plt.imshow(piano_roll.T, aspect="auto", origin="lower")
plt.show()

This will produce a plot of the piano roll representation of the MIDI file:

Piano roll of a MIDI file

Documentation

The documentation for Daccord is available online at https://daccord.readthedocs.io. It includes tutorials, API reference, examples, and a user guide. The documentation is also available as a PDF file, EPUB file, and Jupyter notebooks.

Contributing

Contributions to Daccord are welcome and encouraged. Please read the contributing guidelines before submitting any issue or pull request.

License

Daccord is licensed under the MIT License. See the LICENSE file for details.